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Statistics - Statistical Theory and Methods | Statistics for High-Dimensional Data - Methods, Theory and Applications (Authors and Editors)

Statistics for High-Dimensional Data

Methods, Theory and Applications

Bühlmann, Peter, van de Geer, Sara

2011, XVIII, 558 p.

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Peter Bühlmann is Professor of Statistics at ETH Zürich. His main research areas are high-dimensional statistical inference, machine learning, graphical modeling, nonparametric methods, and statistical modeling in the life sciences. He is currently editor of the Annals of Statistics. He was awarded a Medallion lecture by the Institute of Mathematical Statistics in 2009 and read a paper to the Royal Statistical Society in 2010.

Sara van de Geer has been a full professor at the ETH in Zürich since 2005. Her main areas of research are empirical process theory, statistical learning theory, and nonparametric and high-dimensional statistics. She is an associate editor of Probability Theory and Related Fields, The Scandinavian Journal of Statistics and Statistical Surveys and a member of the Swiss National Science Foundation and correspondent of the Dutch Royal Academy of Sciences.
She received the IMS medal in 2003 and the ISI award in 2005, and was an invited speaker at the International Conference of Mathematicians in 2010.

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  • Statistics for High-Dimensional Data
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    Statistics for High-Dimensional Data

    Methods, Theory and Applications

    Series: Springer Series in Statistics

    Bühlmann, Peter, van de Geer, Sara 2011

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  • Selected Works of Willem van Zwet
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    Selected Works of Willem van Zwet

    Series: Selected Works in Probability and Statistics

    van de Geer, Sara, Wegkamp, Marten (Eds.) 2012

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